sagemaker
CommunityOrchestrate SageMaker ML workflows via AWS CLI.
Authordavid-2814
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Streamlines management of Amazon SageMaker resources (notebook instances, training jobs, models, endpoints, and pipelines) using the AWS CLI, consolidating ML workflows into a single, repeatable toolchain.
Core Features & Use Cases
- Notebook management: Create, start, stop, and monitor notebook instances.
- Training jobs & models: Launch, monitor, and deploy training jobs and trained models.
- Endpoints & Pipelines: Configure and deploy endpoints; orchestrate SageMaker pipelines for end-to-end workflows.
- Security & cost awareness: Ensure prerequisites, IAM permissions, and cost-conscious guidance with guardrails.
Quick Start
Install AWS CLI v2, configure credentials, and run the provided SageMaker setup to begin managing notebooks, training jobs, models, endpoints, and pipelines.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: sagemaker Download link: https://github.com/david-2814/claw-aws/archive/main.zip#sagemaker Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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